Summary
Foivos Diakogiannis is a Senior Research Scientist with 10+ years applying deep learning to computer vision problems in remote sensing and astronomy, currently leading research at CSIRO's Data61 in Perth. He builds and deploys custom CNN architectures and scalable GPU-parallel Python pipelines (mxnet, PyTorch) for large-scale geospatial and time-series aerial imagery (100s of GB to TB), delivering semantic segmentation, classification and regression solutions. His background spans astrophysics (PhD) and computational galactic dynamics, giving him a strong quantitative foundation for modelling complex physical systems. Foivos combines academic rigor with industrial impact—collaborating across ICRAR and Data61—and enjoys translating hard scientific problems into practical, production-ready ML models. An interesting thread through his career is teaching and mentoring at multiple levels, from university lecturing to private tutoring, which informs his clear communication of technical ideas.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Astronomy and Astrophysics, Master of Science (MSc), Astronomy and Astrophysics at Ethnikon kai Kapodistriakon Panepistimion Athinon
The University of Sydney
Bachelors (4year equivalent), Astrophysics, Astronomy, Bachelors (4year equivalent), Astrophysics, Astronomy at Ethnikon kai Kapodistriakon Panepistimion Athinon / University of Athens